A systematic assessment of sentiment analysis models on iraqi dialect-based texts by Hafedh Hameed Hussein, Amir Lakizadeh

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Spike-Based Bayesian-Hebbian Learning of Temporal Sequences. by Philip J Tully, Henrik Lindén, Matthias H Hennig, Anders Lansner

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A personalized query method for spatial keywords in indoor environments by Liping Zhang, Chunhong Li, Song Li

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Assessing digital transformation maturity in higher education institutions: a correlational analysis by actors and dimensions by Jessie Bravo-Jaico, Gisella Luisa Elena Maquen-Niño, Nilton Germán, Carlos Valdivia, Roger Alarcón, Janet Aquino, Oscar Serquén

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Energy optimization induces predictive-coding properties in a multi-compartment spiking neural network model. by Mingfang Zhang, Raluca Chitic, Sander M Bohté

“…Predictive coding is a prominent theoretical framework for understanding hierarchical sensory processing in the brain, yet how it could be implemented in networks of cortical neurons is still unclear. …”
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BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. by Krzysztof J Gorgolewski, Fidel Alfaro-Almagro, Tibor Auer, Pierre Bellec, Mihai Capotă, M Mallar Chakravarty, Nathan W Churchill, Alexander Li Cohen, R Cameron Craddock, Gabriel A Devenyi, Anders Eklund, Oscar Esteban, Guillaume Flandin, Satrajit S Ghosh, J Swaroop Guntupalli, Mark Jenkinson, Anisha Keshavan, Gregory Kiar, Franziskus Liem, Pradeep Reddy Raamana, David Raffelt, Christopher J Steele, Pierre-Olivier Quirion, Robert E Smith, Stephen C Strother, Gaël Varoquaux, Yida Wang, Tal Yarkoni, Russell A Poldrack

“…Previous containerized data processing solutions were limited to single user environments and not compatible with most multi-tenant High Performance Computing systems. …”
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Easy triplex: An online tool for predicting the formation of DNARNA triple helices by Lintao Xian, Jianming Liu, Shunshun Zhu, Fan Liang, Hao Luo, Li Zhao, Min Shi, Cheng Gong, Zhen Li, Tao Guo

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Sustainable Development Garden Landscape Design Based on Data Mining and Virtual Reality by Yuchen Bai

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Data-driven microstructural optimization of Ag-Bi-I perovskite-inspired materials by Kshithij Mysore Nandishwara, Shuan Cheng, Pengjun Liu, Huimin Zhu, Xiaoyu Guo, Fabien C.-P. Massabuau, Robert L. Z. Hoye, Shijing Sun

“…Using Ag-Bi-I perovskite-inspired materials as a case study, Daisy achieved over 120× and 87× acceleration in image analysis and synthesis planning, respectively, compared to manual methods. Processing parameters for AgBiI4 were optimized from over 1700 possible synthesis conditions within 3.5 min, yielding experimentally validated films with no visible pinholes and average grain sizes 14.5% larger than the historical mean. …”
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Fire detection using surveillance systems by Hanan Samir Mahmoud

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Efficiency and cost of economical brain functional networks. by Sophie Achard, Ed Bullmore

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Wearable damaged clothing fabric image recognition system based on image restoration algorithm by Xu Li, Longlin Zhang

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The fidelity of dynamic signaling by noisy biomolecular networks. by Clive G Bowsher, Margaritis Voliotis, Peter S Swain

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Construction and implementation of knowledge enhancement pre-trained language model for text sentiment analysis by Lan Cui

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Deep learning based fine-grained recognition technology for basketball movements by Lin Zhang

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The origin of minus-end directionality and mechanochemistry of Ncd motors. by Biman Jana, Changbong Hyeon, José N Onuchic

“…Here, by employing a structure-based model of protein folding, we show that a simple repositioning of the neck-helix makes the dynamics of Ncd non-processive and minus-end directed as opposed to kinesin-1. …”
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A multi-scale study of thalamic state-dependent responsiveness. by Jorin Overwiening, Federico Tesler, Domenico Guarino, Alain Destexhe

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The spatial structure of stimuli shapes the timescale of correlations in population spiking activity. by Ashok Litwin-Kumar, Maurice J Chacron, Brent Doiron

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Enhanced Milne-Simpson's methods for autonomous and singular differential equations by Ajimot Folasade Adebisi, Saheed Aremu, Muideen Ogunniran, Kamiludeen Tijani, Adewole Ajileye

“…To overcome this, we propose a deep learning-based post-processing stage specifically designed to refine the coarse numerical solutions. …”
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Inverse Stochastic Resonance in Cerebellar Purkinje Cells. by Anatoly Buchin, Sarah Rieubland, Michael Häusser, Boris S Gutkin, Arnd Roth

“…These results provide the first experimental evidence for ISR and suggest a functional role for ISR in cerebellar information processing.…”
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